Energy (signal processing)

Deep reinforcement learning improves CPU frequency scaling for edge computing systems powered by renewable energy, reducing prediction error by 35% and optimizing the energy-latency tradeoff.

Research framework expanding balanced scorecard models for energy sector with six perspectives, embedded risk management, and human-centered performance indicators.

Explore Taiwan's energy transition pathways using greedy algorithm optimization to balance nuclear power, emissions reduction, costs, and grid stability through 2050.

Locally-elastically-connected clustered tensegrity structure achieving multistability and tunable load-bearing performance via coupled cable mechanisms with variable stiffness design and 650%.

Framework for accelerating clean energy transitions in low-income and middle-income countries through health-centered priorities, targeted subsidies, and integrated service delivery.

Study examines data element marketization's impact on green energy efficiency in 282 Chinese cities, revealing direct effects and spatial spillovers with stronger effects in developed regions.

Study proposes queuing-based service model to optimize energy consumption and performance in ternary optical computers through threshold-based scheduling.

Analysis of monthly data from 1990 to 2024 shows energy prices affect wheat, maize, and soybean prices directly through fuel costs and indirectly through fertilizers.

Bio-inspired Voronoi tubular structures replicate luffa sponge architecture for enhanced energy absorption. Parametric design optimization increases specific energy absorption by up to 78%.

Event study analysis of 2024 U.S. election reveals significant market overreaction in ESG and alternative energy stocks, casting doubt on sustainable investment resilience.

Integrated energy and economic modeling shows Netherlands can achieve carbon neutrality by 2050 with long-term GDP growth, but faces transition costs including unemployment and welfare losses.

Energy flow analysis of a fuel-cell hybrid electric heavy-duty truck reveals 47.98% stack efficiency and identifies thermal management as critical bottleneck for powertrain optimization

Analysis of primary frequency regulation optimization for new energy sources, examining reserve capacity configuration, response dynamics, and frequency stability in high-renewable power systems.

Analysis of resistance noise in phase-change memristive devices reveals that entropic contributions—not just thermal energy—govern atomic transitions between resistance states.

Quantile-on-quantile analysis of natural gas price and green bond market interactions reveals nonlinear, time-varying relationships within sustainable development contexts.

Study investigating emotion-adaptive eco-feedback in personal assistants through co-design methodology, generating eight design concepts integrating emotion AI for home energy management.

Framework combining ensemble PSO-GA optimization, blockchain consensus, and anomaly detection for secure resilient Vehicle-to-Grid energy trading networks under coordinated attacks.

Analyze low-frequency oscillations in power grids using dynamic energy methods. Distinguish negative damping from forced disturbances and localize sources via Energy Slope Ratio metric.

Examines clean energy adoption barriers in low-income and middle-income countries, revealing that access metrics overlook affordability, reliability, and actual usage patterns critical to energy.

Research on double-layer variable-diameter energy-absorbing components for hydraulic supports demonstrates 54.2% increased energy absorption through optimized corrugated-circular tube configuration.